چكيده به لاتين
Due to the high importance of power systems socially and economically in modern societies as well as the increasing number and severity of unexpected events such as floods, earthquakes, storms in recent years, due to climate change caused by greenhouse gases, resilience of the power system has become a top priority for power system operators and planners. Therefore, in the last decade various solutions have been proposed by researchers to improve the resilience of the power system. In power system distribution networks, the dynamic formation of micro-grids using distributed generation resources (DERs) is one of the common solutions to improve resilience when the upstream network is unavailable due to an incident. On the other hand, the capabilities of electric vehicles (EVs) such as vehicle-to-grid (V2G), grid-to-vehicle (G2V) as well as high-powered micro generators embedded in hybrid electric vehicles (PHEVs) have made it possible to use the electrical and chemical energy stored in these cars when needed. In this regard, any aggregation of these types of vehicles in the distribution network, whether in public or commercial parking lots or in residential parking, is seen as a source of energy from the system operator point of view, and he can use these resources to participate in restoration. In general, two steps should be taken to improve system performance when using such resources: 1. Apply appropriate control methods to use multiple resources of energy per micro-grid. 2- Using demand response program in network nodes that include critical loads (CLs). In this report, the impact of the electric vehicles presence on different conditions of network critical load restoration is investigated using two-stage stochastic programming. Problem modeled in the form of mixed integer linear programming (MILP). The test network for performing the simulations in this report is the IEEE 123 standard network.
